PreprintToPaper数据集:将biorxiv预版与期刊出版物连接起来
Fidan Badalova1, Julian Sienkiewicz2,3, Philipp Mayr4
1GESIS - Leibniz Institute for the Social Sciences, Cologne, 50667, Germany. fidan.badalova@gesis.org.
Scientific data
|February 24, 2026
概括
"PreprintToPaper"数据集将bioRxiv预印件与出版物联系起来,使学术沟通的分析成为可能. 这一资源有助于研究疫情期间的开放科学和预印制进化.
科学领域:
- 图书计量和学术传播
- 开放科学和预版研究研究.
- 数据科学和计算语言学 数据科学和计算语言学
背景情况:
- 从预印稿到发表文章的过渡是学术交流的一个关键方面.
- 了解预印到出版的动态对于评估开放科学实践至关重要.
- 随着COVID-19的流行,预印服务器的使用和出版趋势发生了重大影响.
研究的目的:
- 介绍PreprintToPaper数据集,将bioRxiv预版与他们的期刊出版物连接起来.
- 为了促进预印到出版途径的大规模分析.
- 为了使研究预印发进化和学术沟通模式.
主要方法:
- 通过使用bioRxiv和Crossref API,从2016-2018年和2020-2022年收集了145,517个bioRxiv预版的元数据.
- 丰富的预印数据与出版物元数据,包括标题,作者和日期.
- 开发了一个版本历史子集,并将预印件分类为已发布,仅预印件和灰色区域.
主要成果:
- 数据集包含预版和相应出版物的全面元数据.
- 包括一个版本历史子集,用于分析预版的演变.
- 具有相似度得分和人类注释的质量评估子集.
结论:
- "PreprintToPaper"数据集为研究学术沟通和开放科学提供了宝贵的资源.
- 它支持各种各样的研究应用,包括文献识别分析和NLP.
- 能够检查不同时间段的预印-出版动态.
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